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Review

Refining Glioblastoma Surgery through the Use of Intra-Operative Fluorescence Imaging Agents

1
Precision Cancer Medicine Group, Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, 2, D02 YN77 Dublin, Ireland
2
National Centre for Neurosurgery, Beaumont Hospital, 9, D09 V2N0 Dublin, Ireland
3
Department of Chemistry, Royal College of Surgeons in Ireland (RCSI), 2, D02 YN77 Dublin, Ireland
4
National Pre-Clinical Imaging Centre (NPIC), 2, D02 YN77 Dublin, Ireland
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Pharmaceuticals 2022, 15(5), 550; https://doi.org/10.3390/ph15050550
Submission received: 1 February 2022 / Revised: 22 April 2022 / Accepted: 25 April 2022 / Published: 29 April 2022

Abstract

:
Glioblastoma (GBM) is the most aggressive adult brain tumour with a dismal 2-year survival rate of 26–33%. Maximal safe resection plays a crucial role in improving patient progression-free survival (PFS). Neurosurgeons have the significant challenge of delineating normal tissue from brain tumour to achieve the optimal extent of resection (EOR), with 5-Aminolevulinic Acid (5-ALA) the only clinically approved intra-operative fluorophore for GBM. This review aims to highlight the requirement for improved intra-operative imaging techniques, focusing on fluorescence-guided imaging (FGS) and the use of novel dyes with the potential to overcome the limitations of current FGS. The review was performed based on articles found in PubMed an.d Google Scholar, as well as articles identified in searched bibliographies between 2001 and 2022. Key words for searches included ‘Glioblastoma’ + ‘Fluorophore’+ ‘Novel’ + ‘Fluorescence Guided Surgery’. Current literature has favoured the approach of using targeted fluorophores to achieve specific accumulation in the tumour microenvironment, with biological conjugates leading the way. These conjugates target specific parts overexpressed in the tumour. The positive results in breast, ovarian and colorectal tissue are promising and may, therefore, be applied to intracranial neoplasms. Therefore, this design has the potential to produce favourable results in GBM by reducing the residual tumour, which translates to decreased tumour recurrence, morbidity and ultimately, mortality in GBM patients. Several preclinical studies have shown positive results with targeted dyes in distinguishing GBM cells from normal brain parenchyma, and targeted dyes in the Near-Infrared (NIR) emission range offer promising results, which may be valuable future alternatives.

1. Introduction

Glioblastoma (GBM) is the most common primary malignant brain tumour in adults [1,2]. The current standard of care (SOC) comprises maximum surgical resection followed by radiotherapy, with concomitant adjuvant Temozolomide (TMZ) chemotherapy [3]. Despite multimodal SOC, diagnosed patients have a dismal 2-year survival rate of just 26–33% [2]. Tumour resection serves a vital role to improve patient outcome via tumour debulking, cytoreduction and reduction of mass effect, and has been proven to significantly increase PFS [4,5]. The extent of resection (EOR) is the major determinant of surgical success [2], with complete resection of the detectable tumour (CRDT) the primary goal [4,5]. Complete resection (CR) of the contrast-enhancing tumour is associated with significantly improved overall survival (OS) among GBM patients (4.1 months OS vs. 1.8 months OS with partial resection) [3,6]. However, CR is virtually impossible. Thus, maximal safe surgical resection is a complex goal [4].
Several studies have assessed the impact of gross total resection (GTR) of the contrast-enhancing tumour on OS of GBM patients, while considering other predictive variables such as age, Karnofsky Performance Scale (KPS) score and absence of necrosis [4,7,8,9]. Additionally, factors such as the Ki-67 proliferation index (>20%) and high EGFR expression have been shown to be associated with poor overall survival [10,11,12]. An early study of N = 416 GBM patients sought to determine an association between EOR and survival time. Here, Lacroix et al. demonstrated that resection of 89% of enhancing tumours identified on T1 weighted MRI significantly improved OS (median OS 10.9 months) [8]. Indeed, the greatest improvement was observed in cases where >98% of contrast enhancing tumour was removed, resulting in a median OS of 13 months [8]. More recently, two additional studies [7,9] have demonstrated a significant survival benefit associated with extensive EOR. Sanai et al. showed that in N = 500 GBM patients, the subtotal EOR of 78% results in a significantly improved OS in newly diagnosed GBM, with aggressive EOR of >96% resulting in a further improved median OS of 12.2 months [7]. Finally, in a study of N = 1229 GBM patients, Li et al. demonstrated a 5.4 month increase in median OS, coupled with a 6% decrease in postoperative complications in patients who underwent CR of the T1 contrast-enhancing tumour [9]. Recently, several studies have shown that metabolic positron emission tomography (PET) may also support pre-operative planning, and aid in maximising EOR [13,14,15]. For example, a recent trial (NCT00006353) has implemented 11C-methionine (MET) to aid in the definition of tumour volume and support improved RT planning [13]. Here, 11C-MET identified tumour regions that were likely to recur, moreover the 11C-MET enhanced regions indicated where greater margins of resection would be beneficial. A further study, which compared MRI contrast enhancement with 18F-FDG and 11C-MET as applied to surgical planning, found that the use of pre-operative PET was associated with an increased survival in GBM patients compared with tumour resection based on MRI alone [14].
Nevertheless, the surgical resection of GBM is not curative [7,16,17]. Indeed, it remains an ongoing clinical challenge to intra-operatively delineate gliomas from normal brain tissue [16], where in some cases, resection of GBM tumours is regrettably associated with significant neurological deficit [6,16,18]. The use of stereotactic pre-operative and intraoperative imaging assists in the delineation of the brain tumour interface. Currently, neuro-navigation, a computerised technique used in the localising of tumour material in the brain, is vital in pre-operative planning for surgical resection. However, these images become invalidated as brain tissue shifts during resection and debulking [17]. Neuro-navigation systems may, however, be improved via implementation of intra-operative MRI (iMRI), intra-operative Ultrasound (iOUS), and Contrast Enhanced Ultrasound (CE-US) [4,5,19]. Indeed, these technologies remain essential in intra-operative guidance today notwithstanding limitations in their capacity to accurately identify all residual and invasive tumour material. In this context, tumour recurrence is usually inevitable.
Notwithstanding, there exists a significant need for improved intra-operative guidance to maximise the extent of resection, and ultimately improving patient prognosis [16]. To address this, fluorescence probes may be introduced to illuminate tumour margins where traditional white light imaging fails to delineate tumour-normal brain margins [4,6,18]. Indeed, fluorescence-guided surgery (FGS) aims to improve visualisation of tumour cells within the surgical field, particularly in the neuro-oncology context where diffuse and invasive tumour margins persist [18]. Overall, FGS provides the opportunity to improve EOR and realise the benefits of resection beyond the limitations of equivocal margins, either radiographically or under white light [4,16].
To date, several fluorophores have reached clinical trial (summarised in [Table 1]). Many of these fluorophores may also be used in combination, with improvements in GTR shown when using multiple fluorescence imaging agents in unison [4]. Additional benefits of FGS include affordable price, wider accessibility, and an absence of ionising radiation [19]. The majority of fluorescence imaging agents emit light in the visible spectrum (400–700 nm) [19]. However, the more favourable wavelength for in vivo use is the near infrared (NIR) range (700–900 nm) [19], enabling deeper imaging and photo penetration of up to 8 mm through tissue [20,21]. Indeed, despite positive outcomes afforded by these agents, many agents afford only a 2-dimensional image, and the signal can frequently be obscured by overhanging tissue, blood, and haemostatic agents. Fluorophores may also be photobleached or destroyed by coagulation [22]. Nevertheless, utilisation of fluorophores may significantly improve EOR and ultimately patient outcome [12].
In the current review, we discuss the mechanisms and historical use of established fluorescent agents including Fluorescein Sodium, 5-Aminolevulinic Acid (5-ALA), Indocyanine Green, IRDye 800 CW, and Alkylphosphocholine analogues (APCs) (Figure 1). We further explore the evidence underpinning the development of novel fluorophores, which harbour potential to overcome limitations of current FGS. We describe the properties of these probes and reference pre-clinical trials that have yielded positive results. Building on previous reviews by Craig et al. (2016), Belykh et al. (2016) and Sun (2021), we expand on extensively researched probes such as Folate-targeted FGS, hypericin, and RGD Conjugated agents. We also highlight a novel class of switching fluorophores, NIR-AZA, and discuss their potential to overcome the shortcomings associated with currently established fluorophores. We postulate that the adaptation of these probes for use in GBM surgery is a promising area of translational research.

2. Established Fluorescent Agent Utilised in Surgery

2.1. Fluorescein Sodium

Fluorophores were first used in surgery in 1948, with Fluorescein sodium (FS), the sodium salt of the fluorescent organic dye Fluorescein [19], the first agent introduced to improve the identification of intra-operative brain tumours [4,22]. Accumulation of FS depends on a leaky blood-brain-barrier (BBB), and the regions in the brain of fluorescein accumulation correspond to those established by MRI contrast-enhancement [4,5,18]. During tumour resection, the BBB is disrupted, allowing extravasation of fluorescein [29] and results in fluorescence in non-tumour areas, for instance, following surgical manipulation, in surrounding oedematous but fundamentally healthy tissue. As a result, non-specific signals are frequently observed [18,30,31]. This non-tumour fluorescence results in fluorescein’s inability to serve as a tumour-specific marker and prevents clear-cut tumour resection [4,22]. Though an inexpensive method for intra-operative imaging, some studies have not shown an improvement in resection outcomes or improved survival of GBM patients using this agent [5,22]. In a study of N = 12 patients with high-grade glioma (HGG) who underwent FS-guided surgery, the fluorescein margins corresponded with that of gadolinium enhancement on MRI. Biopsy samples were taken and FS showed a sensitivity of 82.2% and specificity of 90% in distinguishing tumour cells from normal cortical tissue. The GTR of the enhancing tumour, as assessed by postoperative MRI, was achieved in every case. Infiltrating edges accumulate the least FS due to minimal BBB disruption [30], limiting its usefulness in enhancing tumour in resection surgeries. Moreover, as accumulation occurs in the extracellular space, the fluorescence emitted in dense tumours is restricted [29,30].
Nevertheless, in contrast to the above studies, the efficacy of FS for use in GBM resection has shown to be improved with the use of a surgical filter and this has yielded favourable results as seen in a phase II trial of 12 patients [31]. Of N = 20 biopsies performed at the resection margin (N = 5 patients), a sensitivity and specificity of 91% and 100% respectively of FS identifying tumour tissue was reported [31]. Indeed, in a recent study of 106 patients with GBM [32], GTR was seen in 84% of patients, thus displaying a great improvement compared to non-fluorescent guided surgery. Currently use of this probe for fluorescence-guided resection of glioma is still under consideration by the FDA [33].

2.2. 5-Aminolevulinic Acid (5-ALA)

The orally administered prodrug 5-ALA fluoresces slightly below the NIR spectrum and is currently the most widely used fluorophore in the clinic with peak fluorescence reached 6 h post administration [19]. The prodrug 5-ALA endogenously occurs in the heme synthesis pathway, whereby it is metabolised to Protoporphyrin IX (PpIX) in the mitochondria. Due to the reduced ferrochelatase activity of malignant cells, PpIX uptake is significantly increased in malignant tissue compared to normal tissue [4,5,18,19,34]. The 5-ALA fluoresces under blue light appearing red in bulk tumour areas, pink around the margins, and disappears completely with diminishing tumour density, thus giving room for a high degree of ambiguity [16,34]. The use of 5-ALA allows for a more precise resection procedure and does not depend on damage to the BBB [16] in order to reach the tumour site [6]. Rather, it is dependent on upregulated cellular transport mechanisms leading to intracellular accumulation and is dependent on cellular metabolism and specific tumour microenvironment [35].
In GBM, use of 5-ALA is associated with an increase of 29% in CR and a significant reduction in residual contrast-enhancing tumour on postoperative MRI (a predictor for recurrence), when compared to white light only resections [6,19]. This translates into longer PFS, a reduced need for re-interventions, and a 3.05 month increase in OS [4,5,6,22,36]. Moreover, fluorescence can be detected beyond the margins of the contrast-enhancing tumour on MRI, therefore suggesting its use in visualising non-enhancing tumour [35]. Recently, several groups have begun to explore the use of 5-ALA with photodynamic therapy (PDT) in the management of GBM [37]. The PpIX (thusly 5-AlA) is not only fluorescent but has been shown to be phototoxic. Due to its high specificity of accumulation in the tumour, it has been suggested that PDT of the surgical resection cavity may further enhance survival in GBM patients [38]. Intra-operative PDT can target the tumour in infiltrating margins following 5-ALA FGS surgical resection to ensure CS [38]. A pilot clinical trial (NCT03048240), which has implemented this approach, has been initiated by University Hospital Lille, in collaboration with the Institut National de la Santé Et de la Recherche Médicale (INSERM, Paris, France). Briefly, 10 patients with GBM with complete surgical removal received 5-ALA FGS and intra-operative PDT in combination with current SOC postoperatively. After iMRI to assess the extent of surgical resection, the PDT was delivered at five fractions of 5 J/cm2. At an interim analysis of the patients, the 12-months progression-free survival (PFS) rate was 60% (median 17.1 months), and the actuarial 12-months OS rate was 80% (median 23.1 months), suggesting that 5-ALA PDT may help to decrease the recurrence risk by targeting residual tumour cells in the resection cavity [38].
Notwithstanding the ostensible successes of 5-ALA, there are drawbacks. Currently, the available microscopes to view fluorescence from 5-ALA operate under dark-field conditions [4] resulting in an inability to identify important neurological structures. Another shortcoming of 5-ALA is photobleaching, which is the reduced intensity of emission light with prolonged exposure to the activating light [4,22]. This is overcome under normal circumstances as new tissue is continually re-exposed throughout the procedure [22]. Furthermore, 5-ALA produces a 2D image meaning fluorescence can be missed by overhanging tissue, but this limitation, however, can be overcome by dissecting the tumour margin [22]. Skin sensitisation, moreover, requires the patient to avoid sunlight or direct artificial light for up to 24 h post-administration [19,22]. However, the use of 5-ALA in combination with other dyes or modalities has the potential to overcome its shortcomings. The 5-ALA may also be used in combination with FS to better illuminate tumour tissues. This combination appears orange-to-red in the parts where tumour is present, and green in normal tissue thus increasing sensitivity and specificity of tumour and yielding improved surgical resection margins [4,22]. Finally, iMRI, in addition to FGS with 5-ALA, can produce a GTR of up to 100% of contrast-enhancing tumour detailing the complimentary use of both modalities of imaging in GBM tumour resection [4]. In trials assessing the safety of 5-ALA, preoperative and postoperative KPS score, neurological status, hepatobiliary enzyme levels and blood count were generally unchanged [6,39]. This safety margin, combined with its efficacy in delineating tumour cells in high-grade gliomas has led to its approval for use in intra-operative imaging by the U.S. Food and Drug Administration (FDA) [35,40].

2.3. Indocyanine Green

Indocyanine Green (ICG) is a hydrophobic dye [4] which attaches to plasma proteins within blood vessels [19], and serves as a tool for both observing blood flow, and an aid for surgical guidance. It has an emission peak of 820 nm so is considered a near-infrared (NIR) agent [19,41]. The use of ICG results in lower tissue autofluorescence and deeper tissue penetration than 5-ALA. It is the only clinically approved NIR fluorophore [42] and is currently FDA-approved for use in ophthalmologic angiography and hepatic function assessment [43]. The ICG is excreted exclusively in bile and along with its non-specific nature and short in vivo half-life of 4 min [42], the current use in FGS of tumours is limited to hepatocellular carcinoma (HCC) [44].
Recent clinical trial data has shown its potential for intra-operative tumour/normal tissue classifications when used in conjunction with AI image analysis of tissue perfusion profiles [45]. For example, Cahill et al. (2021) demonstrated in 24 patients (11 with colorectal cancer CRC) that the wash-in kinetics of ICG (as analysed by AI) of normal and of cancerous tissue was significantly different and was able to determine the patients with CRC with a specificity in tumour detection of 95% and a sensitivity of 92%. A novel emerging technique for use in glioma surgeries is second-window ICG (SWIG) [46,47]. This approach involves a high-dose of ICG administered 24 h preoperatively and employs the enhanced permeability and retention (EPR) effect observed in tumours [46]. The EPR effect results from the abnormal vasculature and inadequate lymphatic drainage of cancers [48]. In a recent study [46], SWIG resulted in increased accumulation in HGGs (96% sensitivity) and rapid clearance from normal brain tissue. Nevertheless, the use of ICG in FGS is costly, and requires alternating use of white light and NIR, which requires separate display monitors to overlay tumour tissue fluorescence with conventional light [29]. Another limitation of ICG is the detection of false-positives by producing signals in areas of necrosis and inflammation [47,49] due to corresponding fluorescence patterns with Gadolinium-enhancing tissue [49]. Future studies should implement SWIG in the resection of GBM as this approach has the potential to overcome the shortcomings in current ICG use.

2.4. IRDye 800 CW

The NIR dye IRDye 800 CW emits at 805 nm. It is often conjugated with specific molecules aimed to specifically target cancer tissues. Cetuximab, an FDA approved monoclonal antibody that inhibits Epidermal Growth Factor Receptor (EGFR), is an example of a molecule that can be conjugated to IRDye 800 CW [4,18,30]. The EGFR is highly expressed in 50–70% [50] of GBMs and is, therefore, a promising target for diagnosis of GBM [22,29]. A first in-human trial of cetuximab conjugated IRDye 800 CW was conducted by Miller et al. (2018) [50]. Therein, two patients, with preoperative MRI scans showing contrast-enhanced tumours ranging from 1.5–8 cm in diameter, were enrolled in the trial. One patient received a low dose of the cetuximab-conjugate (50 mg), while the second patient received a high dose cetuximab-conjugate (100 mg). Viable tumour tissue was identifiable in the low dose patient with a sensitivity of 73.0% and a specificity of 66.3% (tumour vs. normal tissue). In the high dose patient, a sensitivity of 98.2% was achieved, with a specificity of 69.8% (CI 64.3–74.9). One of the major benefits of the NIR conjugate systems is the wide availability in many major surgery centres of the imaging infrastructure necessary to utilise this technology. This eliminates the need to train surgeons or purchase new imaging devices while rapidly implementing the technology.
The use of IRDye 800 CW conjugated to an affibody (ABY-029) in glioma surgery has also been investigated. Affibody molecules are synthetic peptides and non-immunoglobulin proteins, which can be modified for use in radioactive labelling. Therein, Samkoe et al. utilised the affibody ABY-029, which serves as an EGFR inhibitor [51] and a targeted fluorophore for intra-operative imaging. In a recent preclinical study [51], in the first hour post-administration in GBM tissue of mice, there was an 8- to 16-fold average increase in fluorescence visualised in the tumour relative to normal brain with fluorescence still present after 48 h [52]. The mean half-life for cetuximab is 4.7 days [53], and it was demonstrated that when in used conjugation with the NIR dye, this half-life was notably reduced to an average of 27 h across cohorts [54]. A long half-life translates to maximum uptake in tissue [54], however it also requires lengthened clearance from surrounding tissue [19,44], and an improved balance is therefore reached with the use of dyes in the NIR spectrum. Future studies should focus on reducing the prolonged accumulation in normal brain parenchyma while optimising imaging protocols.

3. Novel Dyes in Pre-Clinical Development

Due to the limitations associated with currently available fluorophores, as outlined above, there is a continuing need to develop new strategies for fluorescence imaging as applied in neuro-oncology surgical applications. These strategies include the development of novel agents, as well as the adaption of new variants of existing probes, which may be implemented either alone or in combination with existing approaches (Figure 2). One approach to designing novel agents is to fluorescently tag known tumour targets, such as EGFR, HER2, and VEGF. These targeted fluorescence probes may then be employed for visualisation of tumours [55]. Table 2 shows novel fluorophores still undergoing preclinical trials. As discussed below, these probes aim to address the shortcomings of established fluorophores, such as non-specific fluorescence and unwanted adverse effects.

3.1. Folate-Targeted FGS

The folate receptor (FR) is highly expressed in neoplastic cells, and can serve as a useful target for fluorescence probing [19]. Fluorescein iso-thiocyanate (Folate-FITC) has an emission wavelength of 520 nm, and is an example of one such FR-targeting fluorophore [19]. Once Folate-FITC binds to the folate receptor, endocytosis occurs slowly with the fluorescent conjugation persisting within the cell after 2 h [19]. Indeed, GBM tumours display a high expression of FR-α, rendering this receptor a potential target for brain tumour-specific fluorescence imaging [56,73]. Effective targeting of GBM via FR requires the consideration of other FR expressing components of the tumour microenvironment (TME), such as tumour-associated macrophages (TAMs) [56]. The TAMs constitute up to 50% of tumour bulk in GBM and have been shown to play an important role in tumour maintenance and progression [74]. However, FR is only moderately expressed within TAMs, presenting a challenge to target them specifically. It has been suggested to overcome this challenge through the use of recently developed Carbon nanosphere technology [56]. Carbon nanospheres (CSPs) are distinguished by their ability to cross the BBB and may improve the targeting of FRs specifically on GBM cells [56]. The CSPs along with an FR-targeting agent (F8) form CF8 [56], which has the combined ability to target FR-expressing cancer cells and TAMs across the BBB [56]. The CF8 may, therefore, serve as a selective target to FR-expressing glioma cells. Therefore, this BBB-crossing feature of CSPs overcomes a limitation of conventional FR-targeted delivery systems [56]. In this study investigating the use of CF8 as a dual drug delivery system to glioma cells and TAMs, the dye 1,1-dioctadecyl-3,3,3,3- tetramethylindotricarbocyanine iodide (DiR)-labelled CF8 was injected into glioma-bearing mice. There was increased accumulation of CF8-DiR in glioma tumours when compared to CSP-DiR or free DiR dye alone, and fluorescence was observed using an in vivo imaging system [56]. The findings from this preclinical study revealed clear benefits of using this dual targeting strategy for simultaneously targeting both FR-expressing tumour cells and TAMs in the tumour microenvironment. Indeed, this strategy may lead to improved tumour resection and increased patient survival.

3.2. Hypericin

Hypericin, a naphthodianthrone, is a strong lipophilic fluorophore [75] with an emission peak of 650 nm [18]. This agent has the potential to improve glioma diagnosis and treatment due to its higher photostability and penetration depth in comparison to 5-ALA [75]. In a pilot study to investigate its use in identifying High Grade Gliomas (HGG) [75], tumour tissue was clearly apparent from normal brain tissue. Hypericin appears red in areas where it is strongly fluorescent, as in the core of the tumour bulk, and appears pink in weakly fluorescent areas towards the margins where the tumour density is decreased, while normal tissue appears blue [75]. In a further study employing implanted C6 glioma cells in rats, hypericin selectively accumulated intracerebrally and maximum uptake was recorded 24 h following administration [57]. Sensitivity and specificity in differentiating tumour from healthy tissue ranged between 90–100% and 91–94%, respectively [75]. The performance of hypericin has the potential to be highly beneficial to patients with tumour recurrence. This is because clear tumour delineation is difficult, particularly at tumour margins, due to the infiltrative nature of GBM [75]. Nevertheless, the decision on what is considered strongly and weakly fluorescent is user-dependent [75], thus giving variable results, which can affect the EOR.

3.3. RGD Conjugated Agents

The NIR fluorophores such as ICG are limited in their use due to their non-specific accumulation in tissue and their short in vivo half-life [44]. Nevertheless, more recent NIR bio-conjugated fluorophores have been developed to specifically target certain tumour types such as GBM [44]. Additionally, bio-conjugated fluorophores have a large molecular weight and, therefore, have a longer half-life. This greatly enhances their therapeutic uses in treating cancer, as this leads to prolonged accumulation in GBM tissue. However, to allow for clearance from normal tissue, there is an increased time delay experienced between administration of the fluorophore and the commencement of imaging [44]. To allow for more accurate intra-operative imaging at earlier timepoints, it will be necessary to find other approaches that enhance the target-to-background signal ratio. A plausible approach to achieve this would be using mechanisms of selective fluorescence quenching in background tissue. By first establishing the emitting potential of the fluorophore within the region of interest (ROI), and then quenching fluorescence in background areas, it will allow the issue of background clearance to be overcome [44].
Integrins are a potential target for bio-conjugated fluorophores with αvβ3 and αvβ5 highly expressed in GBM [21,60,76]. Integrins such as αvβ3, play a role in tumour angiogenesis and their upregulation is also associated with increased cancer growth and metastasis [44]. The tripeptide arginine-glycine aspartic acid (RGD) sequence can recognise and bind αvβ3 and αvβ5, and promotes cellular internalisation. Due to these characteristics, conjugates of the more stable cyclic variant c(RGDfk) are being investigated as selectivity enhancers for tumour therapies and diagnostics [44]. In a study investigating therapeutic targeting of integrins in cancer [76], cRGD has shown affinity towards integrins αvβ3 and αvβ5 in GBM [21,60,76]. Like cRGD, the peptide iRDG has affinity for high levels of αv integrins on the surface of tumour vessels. The iRDG peptide binds to αvβ3 and αvβ5 and is then proteolytically cleaved within the tumour to produce CRGDK/R [44,77]. The iRGD peptide also has an affinity for neuropilin-1 (NRP-1). Binding of the iRGD peptide to NRP-1 results in tumour tissue penetration and uptake, which is useful in drug delivery [77]. This tumour-specific targeted approach of RGD conjugates and the success in targeting cells for drug delivery can be translated for use in FGS of GBM as is done with RGD-conjugated fluorophores like IRDye 800 CW-RGD and cRGD-ZW800-1. In a transgenic GBM mouse model, the IRDye 800 CW-RGD dye specifically bound to the integrin receptors harboured on GBM cells and gave a detectable fluorescence [60]. In this study, conjugation of this NIR fluorophore (IRDye 800 CW) to the RGD motif did not impede the fluorescence activity of IRDye 800 CW, nor the integrin affinity of RGD [60]. Furthermore, the study was performed with the IRDye 800 CW dye, which is of 800 nm emission wavelength simultaneously with the 700 nm of the dye and reports showed no interference on the images [60]. This demonstrates the potential for combining dyes with varying emission wavelengths in future research to improve EOR in GBM surgery [60]. There were also no reports of effects from photobleaching.
cRGD-ZW800-1 is a cyclic pentapeptide RGD conjugated to the 800 nm NIR fluorophore, ZW800-1 [21]. Delineation of tumour tissue from normal brain was observed in a GBM-mouse model investigating with cRGD-ZW800-1 and when compared to IRDye 800 CW [21], the conjugate had a lower non-specific uptake in normal tissues. An increased dose of 30 nmol of cRGD-ZW800-1 resulted in no non-specific uptake in surrounding tissue [21]. This, therefore, has the potential to be the optimal dose of cRGD-ZW800-1 to achieve maximal safe resection in GBM surgery and future research needs to investigate the benefits of resection at this dose. Additionally, a TBR of 17.2 was achieved within 4 h in comparison to 5.1 with IRDye 800 CW [60]. Optimal fluorescence is achieved within hours of administration as opposed to days when compared to antibody labelled fluorophores, and overall targeting RGD-binding integrins has shown to be well-tolerated in preclinical studies [21]. Ultimately, these RDG conjugated compounds have promising potential to vastly improve FGS in GBM as they overcome tumour specificity issues, toxicity, and photobleaching. These compounds represent a new chapter for intra-operative agents in GBM, which will ultimately lead to improved surgical outcomes for patients.

3.4. Alkylphosphocholine Analogues (APCs)

The APCs are synthetic phospholipid ether molecules that selectively accumulate [62] in overexpressed lipid grafts of various tumours such as GBM [29]. The APCs are resistant to catabolic breakdown, which prolongs time in the tumour microenvironment, and translates to prolonged fluorescence in targeted tissue during surgical resection [29]. In a preclinical study comparing the selective accumulation of 5-ALA with fluorophore labelled APCs (CLR1501 and CLR1502), in five preclinical models of GBM (U251, two patient derived xenografts (PDXs) and three GBM stem cell PDX lines) [62], CLR1501 showed an accumulation and fluorescence profile similar to 5-ALA, while CLR1502 showed a clearer and more defined tumour to brain distinction using IVIS spectrum imaging, Fluobeam detection, and commercially available operative microscopes with appropriate fluorescence detection attachments. These data agree with previous studies, as CLR1502 contains a NIR cyanine fluorophore and light in this spectrum can effectively decrease light absorption in targeted tissue and the false positives of tissue autofluorescence [62]. The tumour-specific uptake of APC-conjugated fluorophores enables greater precision during GBM resection and a heightened potential for preservation of normal brain tissue. Nevertheless, it is noteworthy that practical limitations for these NIR compounds remain. Specifically, the use of NIR agents in surgery requires the tumour to be visualised on a separate monitor in a darkened operating theatre. As a result, surgeons cannot simultaneously visualise the resection field and instruments directly as they would in 5-ALA-guided surgeries.

3.5. NIR-AZA Compounds

BF2-azadipyrromethene (NIR-AZA) is an NIR fluorophore class, developed by the authors, which has shown promise in FGS. Our research efforts have focused on the BF2-azadipyrromethene (NIR-AZA) fluorophore class due to excellent photophysical characteristics including substituent determined emission maxima between 675 and 800 nm, high quantum yields and exceptional photostability [20,78]. Furthermore, linking poly(ethylene-glycol) (PEG) units to NIR-AZA enhanced fluorescence emission. Photostability was also improved, with no light activation of O2 and no in vivo toxicity associated with the doses recommended for imaging [79]. The PEG plays a vital role in drug delivery by solubilizing and protecting the paired agent, which in this case is the fluorophore. It protects the fluorophore from the aqueous environment while extending the half-life [32]. Additionally, the bio-responsive NIR-AZA has off/on fluorescence switching controlled by the in vivo interconversion of phenol to phenolate [34,56]. Bio-responsive NIR-AZA can be used for real-time continuous imaging of cellular processes such as endocytosis, lysosomal trafficking, and cellular efflux [56]. With the photostability and long half-life, and the specific nature of bio-responsive NIR-AZA compounds, NIR-AZA compounds have the potential to be applied for use in targeted GBM imaging as they address the necessary shortcomings in established fluorophores currently in use for surgical resection of GBM. In recent unpublished work investigating the efficacy of the NIR-AZA agents in a mouse model of GBM by the authors (Figure 3), we demonstrate that following IV injection of the novel fluorophore, activity is only observed in the tumour bearing region of the brain. The implanted tumour (Nfpp10a mouse GBM cell line [80]) is additionally fluorescently labelled with green fluorescent protein (GFP) which can be detected via optical imaging. Figure 3B highlights the activity of the novel fluorophore which overlaps with the GFP fluorescence of the tumour, detailing the specificity of this novel compound. Further work is now required to investigate this agent as a robust intra-operative imaging agent.

4. Conclusions

Glioblastoma (GBM) remains one of the most aggressive tumours and a significant source of mortality and morbidity in adults. Current SOC aims to achieve maximum safe resection of neoplastic tissue while preserving healthy brain tissue. This is especially important in the eloquent regions where supramarginal resection is not possible without risk of neurological deficit [81]. However, delineation of normal from tumour tissue continues to be an ongoing challenge. Indeed, despite radiological tools like MRI and ultrasonography, which have proven capable of identifying tumour bulk and in some cases residual tumour pre- and post-operatively, use intra-operatively is met with several limitations, which has given rise to the use of fluorescence-guided surgery (FGS). Nonetheless, there is opportunity for improvement in surgical resection protocols with the use of FGS, specifically as many challenges persist in the development of targeted, effective, and safe fluorophores for use in this disease context.
Challenges in the development of fluorophores include a requirement for well-designed clinical trials to assess safety and efficacy. Within these trials, it is important that appropriate outcome measures are selected to assess performance. The GTR and PFS are often used as indicators of clinical outcome. However, overall survival or development of neurological symptoms may be more relevant clinical markers [18]. Further research is also required to investigate fluorophores, both alone and in combination, to determine the optimal dose and pre-imaging administration schedule to optimise their fluorescence profile and achieve maximal resection. Indeed, a combination of PET guided-surgical planning with intra-operative fluorescent agents, may provide improved resection margins compared to intra-operative agents alone. This combination has the potential to greatly improve the impact of both individual modalities on safe maximal surgical resection and, therefore, enhance the welfare and outcome of GBM patients [82]. The half-life of the fluorophore within the body must also be considered, as this will affect the clearance from the tissue surrounding the tumour. Finally, the technological advancements in neurosurgery do not obviate the need for a detailed consideration of neuroanatomy and rigorous pre-operative planning and monitoring during the procedure [83]. Critically, in the recent review by Mieog et al. [84], it was suggested that for FGS to succeed, target selection, imaging agents and their related detection machinery and their implementation in the clinic have to operate in synergy with each other. Only then will FGS truly improve patient outcomes. Furthermore it has been suggested that the favoured approach of FGS is specifically targeted fluorophores which allow specific accumulation in the tumour and its microenvironment, with biological conjugates leading the way [84]. These conjugates are molecules that target specific tumour epitopes (e.g., integrins or surface receptors). Therefore, the design of targeting tumours (tumour tuning) with a conjugated fluorophore has the potential to produce favourable results in GBM via reduction in residual tumour, which will translate to decreased tumour recurrence, GBM patient morbidity and mortality. Indeed as discussed in this review, one future direction for the development of novel fluorophores is the use of “switching fluorophores” i.e., probes that become fluorescentally active under particular tumour associated conditions, such as acidic pH of a tumour [85]. Switching fluorophores greatly enhances tumour selectivity and may increase the extent of tumour resection. Furthermore, these agents could be conjugated to tumour specific ligands like RDG peptides or other tumour specific markers (EGFRVIII for example). Overall, the field of FGS as applied in the neuro-oncology setting is rapidly evolving and expanding. Nonetheless, this FGS in neuro-oncology still needs to overcome some major hurdles before widespread implementation as a critical tool for improving surgical resection of GBM.

Author Contributions

Conceptualization: A.T.B.; writing—original draft preparation: O.N., K.C., L.P.S., D.W., I.S.M.; writing—review and editing: I.S.M., K.C., K.J.S., D.F.O., A.T.B.; supervision: A.T.B., K.C., L.P.S.; funding acquisition, A.T.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the “GLIOTRAIN” (http://www.gliotrain.eu) award, a Horizon 2020 Research and Innovation program funded under the Marie Skłodowska-Curie ETN initiative (Grant Agreement #766069). This research was also funded by Science Foundation Ireland Research infrastructure grant 18/RI/5759 “NPIC” (www.NPIC.ie). We are also grateful for financial support from the Beaumont Hospital Foundation. DFOS acknowledges funding from the Irish Government Department of Business, Enterprise and Innovation’s Disruptive Technology Innovation Fund.

Institutional Review Board Statement

The in-vivo study was performed at University College Dublin (UCD) and were approved by UCD Animal Research Ethics Committee (AREC). All work was performed according to local rules and regulations and under Health Products Regulatory Authority HPRA licence number AE18982/P189.

Informed Consent Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

DFOS has a financial interest in patents filed and granted relating to NIR fluorophores, all other authors have no conflict of interest to declare.

References

  1. Schupper, A.J.; Hadjipanayis, C. Use of Intraoperative Fluorophores. Neurosurg. Clin. N. Am. 2021, 32, 55–64. [Google Scholar] [CrossRef] [PubMed]
  2. Fernandes, C.; Costa, A.; Osório, L.; Lago, R.C.; Linhares, P.; Carvalho, B.; Caeiro, C. Current Standards of Care in Glioblastoma Therapy. In Glioblastoma; De Vleeschouwer, S., Ed.; Codon Publications: Brisbane, QLD, Australia, 2017. [Google Scholar] [CrossRef] [Green Version]
  3. Stupp, R.; Hegi, M.; Mason, W.; van den Bent, M.; Taphoorn, M.; Janzer, R.; Ludwin, S.; Allgeier, A.; Fisher, B.; Belanger, K.; et al. Effects of radiotherapy with concomitant and adjuvant temozolomide versus radiotherapy alone on survival in glioblastoma in a randomised phase III study: 5-year analysis of the EORTC-NCIC trial. Lancet Oncol. 2009, 10, 459–466. [Google Scholar] [CrossRef]
  4. Orillac, C.; Stummer, W.; Orringer, D.A. Fluorescence Guidance and Intraoperative Adjuvants to Maximize Extent of Resection. Neurosurgery 2021, 89, 727–736. [Google Scholar] [CrossRef] [PubMed]
  5. Youngblood, M.W.; Stupp, R.; Sonabend, A.M. Role of Resection in Glioblastoma Management. Neurosurg. Clin. N. Am. 2021, 32, 9–22. [Google Scholar] [CrossRef] [PubMed]
  6. Stummer, W.; Pichlmeier, U.; Meinel, T.; Wiestler, O.D.; Zanella, F.; Reulen, H.-J. Fluorescence-guided surgery with 5-aminolevulinic acid for resection of malignant glioma: A randomised controlled multicentre phase III trial. Lancet Oncol. 2006, 7, 392–401. [Google Scholar] [CrossRef]
  7. Sanai, N.; Berger, M.S. Operative techniques for gliomas and the value of extent of resection. Neurotherapeutics 2009, 6, 478–486. [Google Scholar] [CrossRef] [Green Version]
  8. Lacroix, M.; Abi-Said, D.; Fourney, D.R.; Gokaslan, Z.L.; Shi, W.; DeMonte, F.; Lang, F.F.; McCutcheon, I.E.; Hassenbusch, S.J.; Holland, E.; et al. A multivariate analysis of 416 patients with glioblastoma multiforme: Prognosis, extent of resection, and survival. J. Neurosurg. 2001, 95, 190–198. [Google Scholar] [CrossRef] [Green Version]
  9. Li, Y.M.; Suki, D.; Hess, K.; Sawaya, R. The influence of maximum safe resection of glioblastoma on survival in 1229 patients: Can we do better than gross-total resection? J. Neurosurg. 2016, 124, 977–988. [Google Scholar] [CrossRef] [Green Version]
  10. Armocida, D.; Frati, A.; Salvati, M.; Santoro, A.; Pesce, A. Is Ki-67 index overexpression in IDH wild type glioblastoma a predictor of shorter Progression Free survival? A clinical and Molecular analytic investigation. Clin. Neurol. Neurosurg. 2020, 198, 106126. [Google Scholar] [CrossRef]
  11. Li, J.; Liang, R.; Song, C.; Xiang, Y.; Liu, Y. Prognostic significance of epidermal growth factor receptor expression in glioma patients. OncoTargets Ther. 2018, 11, 731–742. [Google Scholar] [CrossRef] [Green Version]
  12. Ahmadipour, Y.; Jabbarli, R.; Gembruch, O.; Pierscianek, D.; Darkwah Oppong, M.; Dammann, P.; Wrede, K.; Ozkan, N.; Muller, O.; Sure, U.; et al. Impact of Multifocality and Molecular Markers on Survival of Glioblastoma. World Neurosurg. 2019, 122, e461–e466. [Google Scholar] [CrossRef] [PubMed]
  13. Pessina, F.; Navarria, P.; Clerici, E.; Bellu, L.; Franzini, A.; Milani, D.; Simonelli, M.; Persico, P.; Politi, L.S.; Casarotti, A.; et al. Role of 11C Methionine Positron Emission Tomography (11CMETPET) for Surgery and Radiation Therapy Planning in Newly Diagnosed Glioblastoma Patients Enrolled into a Phase II Clinical Study. J. Clin. Med. 2021, 10, 2313. [Google Scholar] [CrossRef] [PubMed]
  14. Pirotte, B.J.; Levivier, M.; Goldman, S.; Massager, N.; Wikler, D.; Dewitte, O.; Bruneau, M.; Rorive, S.; David, P.; Brotchi, J. Positron emission tomography-guided volumetric resection of supratentorial high-grade gliomas: A survival analysis in 66 consecutive patients. Neurosurgery 2009, 64, 471–481; discussion 481. [Google Scholar] [CrossRef] [PubMed]
  15. Ort, J.; Hamou, H.A.; Kernbach, J.M.; Hakvoort, K.; Blume, C.; Lohmann, P.; Galldiks, N.; Heiland, D.H.; Mottaghy, F.M.; Clusmann, H.; et al. (18)F-FET-PET-guided gross total resection improves overall survival in patients with WHO grade III/IV glioma: Moving towards a multimodal imaging-guided resection. J. Neuro-Oncol. 2021, 155, 71–80. [Google Scholar] [CrossRef]
  16. Liu, J.T.C.; Meza, D.; Sanai, N. Trends in fluorescence image-guided surgery for gliomas. Neurosurgery 2014, 75, 61–71. [Google Scholar] [CrossRef] [Green Version]
  17. Gerard, I.J.; Kersten-Oertel, M.; Petrecca, K.; Sirhan, D.; Hall, J.A.; Collins, D.L. Brain shift in neuronavigation of brain tumors: A review. Med. Image Anal. 2017, 35, 403–420. [Google Scholar] [CrossRef]
  18. Senders, J.T.; Muskens, I.S.; Schnoor, R.; Karhade, A.V.; Cote, D.J.; Smith, T.R.; Broekman, M.L. Agents for fluorescence-guided glioma surgery: A systematic review of preclinical and clinical results. Acta Neurochir. 2017, 159, 151–167. [Google Scholar] [CrossRef] [Green Version]
  19. Nagaya, T.; Nakamura, Y.A.; Choyke, P.L.; Kobayashi, H. Fluorescence-Guided Surgery. Front. Oncol. 2017, 7, 314. [Google Scholar] [CrossRef]
  20. Daly, H.C.; Conroy, E.; Todor, M.; Wu, D.; Gallagher, W.M.; O’Shea, D.F. An EPR Strategy for Bio-responsive Fluorescence Guided Surgery with Simulation of the Benefit for Imaging. Theranostics 2020, 10, 3064–3082. [Google Scholar] [CrossRef]
  21. Handgraaf, H.J.M.; Boonstra, M.C.; Prevoo, H.; Kuil, J.; Bordo, M.W.; Boogerd, L.S.F.; Sibinga Mulder, B.G.; Sier, C.F.M.; Vinkenburg-van Slooten, M.L.; Valentijn, A.; et al. Real-time near-infrared fluorescence imaging using cRGD-ZW800-1 for intraoperative visualization of multiple cancer types. Oncotarget 2017, 8, 21054–21066. [Google Scholar] [CrossRef] [Green Version]
  22. Stummer, W.; Suero Molina, E. Fluorescence Imaging/Agents in Tumor Resection. Neurosurg. Clin. N. Am. 2017, 28, 569–583. [Google Scholar] [CrossRef] [PubMed]
  23. Stummer, W.; Stepp, H.; Wiestler, O.D.; Pichlmeier, U. Randomized, Prospective Double-Blinded Study Comparing 3 Different Doses of 5-Aminolevulinic Acid for Fluorescence-Guided Resections of Malignant Gliomas. Neurosurgery 2017, 81, 230–239. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Roberts, D.W.; Olson, J.D.; Evans, L.T.; Kolste, K.K.; Kanick, S.C.; Fan, X.; Bravo, J.J.; Wilson, B.C.; Leblond, F.; Marois, M.; et al. Red-light excitation of protoporphyrin IX fluorescence for subsurface tumor detection. J. Neurosurg. 2018, 128, 1690–1697. [Google Scholar] [CrossRef] [PubMed]
  25. Sanai, N.; Snyder, L.A.; Honea, N.J.; Coons, S.W.; Eschbacher, J.M.; Smith, K.A.; Spetzler, R.F. Intraoperative confocal microscopy in the visualization of 5-aminolevulinic acid fluorescence in low-grade gliomas. J. Neurosurg. 2011, 115, 740–748. [Google Scholar] [CrossRef]
  26. Widhalm, G.; Olson, J.; Weller, J.; Bravo, J.; Han, S.J.; Phillips, J.; Hervey-Jumper, S.L.; Chang, S.M.; Roberts, D.W.; Berger, M.S. The value of visible 5-ALA fluorescence and quantitative protoporphyrin IX analysis for improved surgery of suspected low-grade gliomas. J. Neurosurg. 2019, 133, 79–88. [Google Scholar] [CrossRef]
  27. Li, C.; Buch, L.; Cho, S.; Lee, J.Y.K. Near-infrared intraoperative molecular imaging with conventional neurosurgical microscope can be improved with narrow band “boost” excitation. Acta Neurochir. 2019, 161, 2311–2318. [Google Scholar] [CrossRef]
  28. Patil, C.G.; Walker, D.G.; Miller, D.M.; Butte, P.; Morrison, B.; Kittle, D.S.; Hansen, S.J.; Nufer, K.L.; Byrnes-Blake, K.A.; Yamada, M.; et al. Phase 1 Safety, Pharmacokinetics, and Fluorescence Imaging Study of Tozuleristide (BLZ-100) in Adults With Newly Diagnosed or Recurrent Gliomas. Neurosurgery 2019, 85, E641–E649. [Google Scholar] [CrossRef]
  29. Schupper, A.J.; Yong, R.L.; Hadjipanayis, C.G. The Neurosurgeon’s Armamentarium for Gliomas: An Update on Intraoperative Technologies to Improve Extent of Resection. J. Clin. Med. 2021, 10, 236. [Google Scholar] [CrossRef]
  30. Diaz, R.J.; Dios, R.R.; Hattab, E.M.; Burrell, K.; Rakopoulos, P.; Sabha, N.; Hawkins, C.; Zadeh, G.; Rutka, J.T.; Cohen-Gadol, A.A. Study of the biodistribution of fluorescein in glioma-infiltrated mouse brain and histopathological correlation of intraoperative findings in high-grade gliomas resected under fluorescein fluorescence guidance. J. Neurosurg. 2015, 122, 1360–1369. [Google Scholar] [CrossRef] [Green Version]
  31. Acerbi, F.; Broggi, M.; Eoli, M.; Anghileri, E.; Cuppini, L.; Pollo, B.; Schiariti, M.; Visintini, S.; Orsi, C.; Franzini, A.; et al. Fluorescein-guided surgery for grade IV gliomas with a dedicated filter on the surgical microscope: Preliminary results in 12 cases. Acta Neurochir. 2013, 155, 1277–1286. [Google Scholar] [CrossRef]
  32. Höhne, J.; Schebesch, K.-M.; de Laurentis, C.; Akçakaya, M.O.; Pedersen, C.B.; Brawanski, A.; Poulsen, F.R.; Kiris, T.; Cavallo, C.; Broggi, M.; et al. Fluorescein Sodium in the Surgical Treatment of Recurrent Glioblastoma Multiforme. World Neurosurg. 2019, 125, e158–e164. [Google Scholar] [CrossRef] [Green Version]
  33. Okuda, T.; Yoshioka, H.; Kato, A. Fluorescence-guided surgery for glioblastoma multiforme using high-dose fluorescein sodium with excitation and barrier filters. J. Clin. Neurosci. 2012, 19, 1719–1722. [Google Scholar] [CrossRef] [PubMed]
  34. Stummer, W.; Novotny, A.; Stepp, H.; Goetz, C.; Bise, K.; Reulen, H.J. Fluorescence-guided resection of glioblastoma multiforme by using 5-aminolevulinic acid-induced porphyrins: A prospective study in 52 consecutive patients. J. Neurosurg. 2000, 93, 1003–1013. [Google Scholar] [CrossRef] [PubMed]
  35. Michael, A.P.; Watson, V.L.; Ryan, D.; Delfino, K.R.; Bekker, S.V.; Cozzens, J.W. Effects of 5-ALA dose on resection of glioblastoma. J. Neurooncol. 2019, 141, 523–531. [Google Scholar] [CrossRef] [PubMed]
  36. Gandhi, S.; Tayebi Meybodi, A.; Belykh, E.; Cavallo, C.; Zhao, X.; Syed, M.P.; Borba Moreira, L.; Lawton, M.T.; Nakaji, P.; Preul, M.C. Survival Outcomes Among Patients With High-Grade Glioma Treated With 5-Aminolevulinic Acid-Guided Surgery: A Systematic Review and Meta-Analysis. Front. Oncol. 2019, 9, 620. [Google Scholar] [CrossRef] [Green Version]
  37. Stepp, H.; Stummer, W. 5-ALA in the management of malignant glioma. Lasers Surg. Med. 2018, 50, 399–419. [Google Scholar] [CrossRef] [Green Version]
  38. Vermandel, M.; Dupont, C.; Lecomte, F.; Leroy, H.A.; Tuleasca, C.; Mordon, S.; Hadjipanayis, C.G.; Reyns, N. Standardized intraoperative 5-ALA photodynamic therapy for newly diagnosed glioblastoma patients: A preliminary analysis of the INDYGO clinical trial. J. Neurooncol. 2021, 152, 501–514. [Google Scholar] [CrossRef] [PubMed]
  39. Teixidor, P.; Arráez, M.; Villalba, G.; Garcia, R.; Tardáguila, M.; González, J.J.; Rimbau, J.; Vidal, X.; Montané, E. Safety and Efficacy of 5-Aminolevulinic Acid for High Grade Glioma in Usual Clinical Practice: A Prospective Cohort Study. PLoS ONE 2016, 11, e0149244. [Google Scholar] [CrossRef] [Green Version]
  40. Hadjipanayis, C.G.; Stummer, W. 5-ALA and FDA approval for glioma surgery. J. Neurooncol. 2019, 141, 479–486. [Google Scholar] [CrossRef]
  41. Hilderbrand, S.A.; Weissleder, R. Near-infrared fluorescence: Application to in vivo molecular imaging. Curr. Opin. Chem. Biol. 2010, 14, 71–79. [Google Scholar] [CrossRef]
  42. Wu, D.; Daly, H.C.; Conroy, E.; Li, B.; Gallagher, W.M.; Cahill, R.A.; O’Shea, D.F. PEGylated BF(2)-Azadipyrromethene (NIR-AZA) fluorophores, for intraoperative imaging. Eur. J. Med. Chem. 2019, 161, 343–353. [Google Scholar] [CrossRef]
  43. Kobayashi, H.; Ogawa, M.; Alford, R.; Choyke, P.L.; Urano, Y. New strategies for fluorescent probe design in medical diagnostic imaging. Chem. Rev. 2010, 110, 2620–2640. [Google Scholar] [CrossRef] [Green Version]
  44. Wu, D.; Daly, H.C.; Grossi, M.; Conroy, E.; Li, B.; Gallagher, W.M.; Elmes, R.; O’Shea, D.F. RGD conjugated cell uptake off to on responsive NIR-AZA fluorophores: Applications toward intraoperative fluorescence guided surgery. Chem. Sci. 2019, 10, 6944–6956. [Google Scholar] [CrossRef] [Green Version]
  45. Cahill, R.A.; O’Shea, D.F.; Khan, M.F.; Khokhar, H.A.; Epperlein, J.P.; Mac Aonghusa, P.G.; Nair, R.; Zhuk, S.M. Artificial intelligence indocyanine green (ICG) perfusion for colorectal cancer intra-operative tissue classification. Br. J. Surg. 2021, 108, 5–9. [Google Scholar] [CrossRef]
  46. Cho, S.S.; Salinas, R.; De Ravin, E.; Teng, C.W.; Li, C.; Abdullah, K.G.; Buch, L.; Hussain, J.; Ahmed, F.; Dorsey, J.; et al. Near-Infrared Imaging with Second-Window Indocyanine Green in Newly Diagnosed High-Grade Gliomas Predicts Gadolinium Enhancement on Postoperative Magnetic Resonance Imaging. Mol. Imaging Biol. 2020, 22, 1427–1437. [Google Scholar] [CrossRef]
  47. Teng, C.W.; Huang, V.; Arguelles, G.R.; Zhou, C.; Cho, S.S.; Harmsen, S.; Lee, J.Y.K. Applications of indocyanine green in brain tumor surgery: Review of clinical evidence and emerging technologies. Neurosurg. Focus 2021, 50, E4. [Google Scholar] [CrossRef]
  48. Kalyane, D.; Raval, N.; Maheshwari, R.; Tambe, V.; Kalia, K.; Tekade, R.K. Employment of enhanced permeability and retention effect (EPR): Nanoparticle-based precision tools for targeting of therapeutic and diagnostic agent in cancer. Mater. Sci. Eng. C 2019, 98, 1252–1276. [Google Scholar] [CrossRef]
  49. Cho, S.S.; Salinas, R.; Lee, J.Y.K. Indocyanine-Green for Fluorescence-Guided Surgery of Brain Tumors: Evidence, Techniques, and Practical Experience. Front. Surg. 2019, 6, 11. [Google Scholar] [CrossRef] [Green Version]
  50. Miller, S.E.; Tummers, W.S.; Teraphongphom, N.; van den Berg, N.S.; Hasan, A.; Ertsey, R.D.; Nagpal, S.; Recht, L.D.; Plowey, E.D.; Vogel, H.; et al. First-in-human intraoperative near-infrared fluorescence imaging of glioblastoma using cetuximab-IRDye800. J. Neurooncol. 2018, 139, 135–143. [Google Scholar] [CrossRef] [Green Version]
  51. Samkoe, K.S.; Gunn, J.R.; Marra, K.; Hull, S.M.; Moodie, K.L.; Feldwisch, J.; Strong, T.V.; Draney, D.R.; Hoopes, P.J.; Roberts, D.W.; et al. Toxicity and Pharmacokinetic Profile for Single-Dose Injection of ABY-029: A Fluorescent Anti-EGFR Synthetic Affibody Molecule for Human Use. Mol. Imaging Biol. 2017, 19, 512–521. [Google Scholar] [CrossRef]
  52. de Souza, A.L.; Marra, K.; Gunn, J.; Samkoe, K.S.; Hoopes, P.J.; Feldwisch, J.; Paulsen, K.D.; Pogue, B.W. Fluorescent Affibody Molecule Administered In Vivo at a Microdose Level Labels EGFR Expressing Glioma Tumor Regions. Mol. Imaging Biol. 2017, 19, 41–48. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Hubbard, J.M.; Alberts, S.R. Alternate dosing of cetuximab for patients with metastatic colorectal cancer. Gastrointest. Cancer Res. 2013, 6, 47–55. [Google Scholar] [PubMed]
  54. Rosenthal, E.L.; Warram, J.M.; de Boer, E.; Chung, T.K.; Korb, M.L.; Brandwein-Gensler, M.; Strong, T.V.; Schmalbach, C.E.; Morlandt, A.B.; Agarwal, G.; et al. Safety and Tumor Specificity of Cetuximab-IRDye800 for Surgical Navigation in Head and Neck Cancer. Clin. Cancer Res. 2015, 21, 3658–3666. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Belykh, E.; Martirosyan, N.L.; Yagmurlu, K.; Miller, E.J.; Eschbacher, J.M.; Izadyyazdanabadi, M.; Bardonova, L.A.; Byvaltsev, V.A.; Nakaji, P.; Preul, M.C. Intraoperative Fluorescence Imaging for Personalized Brain Tumor Resection: Current State and Future Directions. Front. Surg. 2016, 3, 55. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Elechalawar, C.K.; Bhattacharya, D.; Ahmed, M.T.; Gora, H.; Sridharan, K.; Chaturbedy, P.; Sinha, S.H.; Jaggarapu, M.M.C.S.; Narayan, K.P.; Chakravarty, S. Dual targeting of folate receptor-expressing glioma tumor-associated macrophages and epithelial cells in the brain using a carbon nanosphere–cationic folate nanoconjugate. Nanoscale Adv. 2019, 1, 3555–3567. [Google Scholar] [CrossRef] [Green Version]
  57. Noell, S.; Mayer, D.; Strauss, W.S.; Tatagiba, M.S.; Ritz, R. Selective enrichment of hypericin in malignant glioma: Pioneering in vivo results. Int. J. Oncol. 2011, 38, 1343–1348. [Google Scholar] [CrossRef] [Green Version]
  58. Warram, J.M.; de Boer, E.; Korb, M.; Hartman, Y.; Kovar, J.; Markert, J.M.; Gillespie, G.Y.; Rosenthal, E.L. Fluorescence-guided resection of experimental malignant glioma using cetuximab-IRDye 800CW. Br. J. Neurosurg. 2015, 29, 850–858. [Google Scholar] [CrossRef] [Green Version]
  59. Napier, T.S.; Udayakumar, N.; Jani, A.H.; Hartman, Y.E.; Houson, H.A.; Moore, L.; Amm, H.M.; van den Berg, N.S.; Sorace, A.G.; Warram, J.M. Comparison of Panitumumab-IRDye800CW and 5-Aminolevulinic Acid to Provide Optical Contrast in a Model of Glioblastoma Multiforme. Mol. Cancer 2020, 19, 1922–1929. [Google Scholar] [CrossRef]
  60. Huang, R.; Vider, J.; Kovar, J.L.; Olive, D.M.; Mellinghoff, I.K.; Mayer-Kuckuk, P.; Kircher, M.F.; Blasberg, R.G. Integrin αvβ3-targeted IRDye 800CW near-infrared imaging of glioblastoma. Clin. Cancer Res. 2012, 18, 5731–5740. [Google Scholar] [CrossRef] [Green Version]
  61. Crisp, J.L.; Savariar, E.N.; Glasgow, H.L.; Ellies, L.G.; Whitney, M.A.; Tsien, R.Y. Dual targeting of integrin αvβ3 and matrix metalloproteinase-2 for optical imaging of tumors and chemotherapeutic delivery. Mol. Cancer 2014, 13, 1514–1525. [Google Scholar] [CrossRef] [Green Version]
  62. Swanson, K.I.; Clark, P.A.; Zhang, R.R.; Kandela, I.K.; Farhoud, M.; Weichert, J.P.; Kuo, J.S. Fluorescent cancer-selective alkylphosphocholine analogs for intraoperative glioma detection. Neurosurgery 2015, 76, 115–124. [Google Scholar] [CrossRef] [Green Version]
  63. Veiseh, M.; Gabikian, P.; Bahrami, S.B.; Veiseh, O.; Zhang, M.; Hackman, R.C.; Ravanpay, A.C.; Stroud, M.R.; Kusuma, Y.; Hansen, S.J.; et al. Tumor paint: A chlorotoxin:Cy5.5 bioconjugate for intraoperative visualization of cancer foci. Cancer Res. 2007, 67, 6882–6888. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Yan, H.; Wang, J.; Yi, P.; Lei, H.; Zhan, C.; Xie, C.; Feng, L.; Qian, J.; Zhu, J.; Lu, W.; et al. Imaging brain tumor by dendrimer-based optical/paramagnetic nanoprobe across the blood-brain barrier. Chem. Commun. 2011, 47, 8130–8132. [Google Scholar] [CrossRef] [PubMed]
  65. Lanzardo, S.; Conti, L.; Brioschi, C.; Bartolomeo, M.P.; Arosio, D.; Belvisi, L.; Manzoni, L.; Maiocchi, A.; Maisano, F.; Forni, G. A new optical imaging probe targeting αVβ3 integrin in glioblastoma xenografts. Contrast Media Mol. Imaging 2011, 6, 449–458. [Google Scholar] [CrossRef] [PubMed]
  66. Snuderl, M.; Wirth, D.; Sheth, S.A.; Bourne, S.K.; Kwon, C.S.; Ancukiewicz, M.; Curry, W.T.; Frosch, M.P.; Yaroslavsky, A.N. Dye-enhanced multimodal confocal imaging as a novel approach to intraoperative diagnosis of brain tumors. Brain Pathol. 2013, 23, 73–81. [Google Scholar] [CrossRef] [PubMed]
  67. Irwin, C.P.; Portorreal, Y.; Brand, C.; Zhang, Y.; Desai, P.; Salinas, B.; Weber, W.A.; Reiner, T. PARPi-FL—A fluorescent PARP1 inhibitor for glioblastoma imaging. Neoplasia 2014, 16, 432–440. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  68. Antaris, A.L.; Chen, H.; Cheng, K.; Sun, Y.; Hong, G.; Qu, C.; Diao, S.; Deng, Z.; Hu, X.; Zhang, B.; et al. A small-molecule dye for NIR-II imaging. Nat. Mater. 2016, 15, 235–242. [Google Scholar] [CrossRef]
  69. Sexton, K.; Tichauer, K.; Samkoe, K.S.; Gunn, J.; Hoopes, P.J.; Pogue, B.W. Fluorescent affibody peptide penetration in glioma margin is superior to full antibody. PLoS ONE 2013, 8, e60390. [Google Scholar] [CrossRef] [Green Version]
  70. Meincke, M.; Tiwari, S.; Hattermann, K.; Kalthoff, H.; Mentlein, R. Near-infrared molecular imaging of tumors via chemokine receptors CXCR4 and CXCR7. Clin. Exp. Metastasis 2011, 28, 713–720. [Google Scholar] [CrossRef] [Green Version]
  71. Kurbegovic, S.; Juhl, K.; Sorensen, K.K.; Leth, J.; Willemoe, G.L.; Christensen, A.; Adams, Y.; Jensen, A.R.; von Buchwald, C.; Skjoth-Rasmussen, J.; et al. IRDye800CW labeled uPAR-targeting peptide for fluorescence-guided glioblastoma surgery: Preclinical studies in orthotopic xenografts. Theranostics 2021, 11, 7159–7174. [Google Scholar] [CrossRef]
  72. Terwisscha van Scheltinga, A.G.; van Dam, G.M.; Nagengast, W.B.; Ntziachristos, V.; Hollema, H.; Herek, J.L.; Schroder, C.P.; Kosterink, J.G.; Lub-de Hoog, M.N.; de Vries, E.G. Intraoperative near-infrared fluorescence tumor imaging with vascular endothelial growth factor and human epidermal growth factor receptor 2 targeting antibodies. J. Nucl. Med. 2011, 52, 1778–1785. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Wu, H.; Zhan, Y.; Qu, Y.; Qi, X.; Li, J.; Yu, C. Changes of folate receptor -α protein expression in human gliomas and its clinical relevance. Zhonghua Wai Ke Za Zhi 2014, 52, 202–207. [Google Scholar]
  74. Landry, A.P.; Balas, M.; Alli, S.; Spears, J.; Zador, Z. Distinct regional ontogeny and activation of tumor associated macrophages in human glioblastoma. Sci. Rep. 2020, 10, 19542. [Google Scholar] [CrossRef]
  75. Ritz, R.; Daniels, R.; Noell, S.; Feigl, G.C.; Schmidt, V.; Bornemann, A.; Ramina, K.; Mayer, D.; Dietz, K.; Strauss, W.S.L.; et al. Hypericin for visualization of high grade gliomas: First clinical experience. Eur. J. Surg. Oncol. (EJSO) 2012, 38, 352–360. [Google Scholar] [CrossRef]
  76. Desgrosellier, J.S.; Cheresh, D.A. Integrins in cancer: Biological implications and therapeutic opportunities. Nat. Rev. Cancer 2010, 10, 9–22. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  77. Zuo, H. iRGD: A Promising Peptide for Cancer Imaging and a Potential Therapeutic Agent for Various Cancers. J. Oncol. 2019, 2019, 9367845. [Google Scholar] [CrossRef] [PubMed]
  78. Daly, H.C.; Sampedro, G.; Bon, C.; Wu, D.; Ismail, G.; Cahill, R.A.; O’Shea, D.F. BF2-azadipyrromethene NIR-emissive fluorophores with research and clinical potential. Eur. J. Med. Chem. 2017, 135, 392–400. [Google Scholar] [CrossRef]
  79. Curtin, N.; Wu, D.; Cahill, R.; Sarkar, A.; Aonghusa, P.M.; Zhuk, S.; Barberio, M.; Al-Taher, M.; Marescaux, J.; Diana, M.; et al. Dual Color Imaging from a Single BF2-Azadipyrromethene Fluorophore Demonstrated in vivo for Lymph Node Identification. Int. J. Med. Sci. 2021, 18, 1541–1553. [Google Scholar] [CrossRef] [PubMed]
  80. Allen, E.; Jabouille, A.; Rivera, L.B.; Lodewijckx, I.; Missiaen, R.; Steri, V.; Feyen, K.; Tawney, J.; Hanahan, D.; Michael, I.P.; et al. Combined antiangiogenic and anti-PD-L1 therapy stimulates tumor immunity through HEV formation. Sci. Transl. Med. 2017, 9, eaak9679. [Google Scholar] [CrossRef] [Green Version]
  81. Wang, L.M.; Banu, M.A.; Canoll, P.; Bruce, J.N. Rationale and Clinical Implications of Fluorescein-Guided Supramarginal Resection in Newly Diagnosed High-Grade Glioma. Front. Oncol. 2021, 11, 666734. [Google Scholar] [CrossRef]
  82. Li, D.; Zhang, J.; Chi, C.; Xiao, X.; Wang, J.; Lang, L.; Ali, I.; Niu, G.; Zhang, L.; Tian, J.; et al. First-in-human study of PET and optical dual-modality image-guided surgery in glioblastoma using (68)Ga-IRDye800CW-BBN. Theranostics 2018, 8, 2508–2520. [Google Scholar] [CrossRef] [PubMed]
  83. Sun, R.; Cuthbert, H.; Watts, C. Fluorescence-Guided Surgery in the Surgical Treatment of Gliomas: Past, Present and Future. Cancers 2021, 13, 3508. [Google Scholar] [CrossRef] [PubMed]
  84. Mieog, J.S.D.; Achterberg, F.B.; Zlitni, A.; Hutteman, M.; Burggraaf, J.; Swijnenburg, R.J.; Gioux, S.; Vahrmeijer, A.L. Fundamentals and developments in fluorescence-guided cancer surgery. Nat. Rev. Clin. Oncol. 2022, 19, 9–22. [Google Scholar] [CrossRef] [PubMed]
  85. Ge, Y.; O’Shea, D.F. RGD conjugated switch on near infrared-fluorophores for fluorescence guided cancer surgeries. Future Oncol. 2019, 15, 4123–4125. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Examples of current fluorophores used in clinical practice. Representative images of fluorescence-guided resection of glioblastoma using (A,B) 5-ALA, (C,D) Fluorescein and (E,F) SWIG using white light (A,C,E), fluorescing light (B,D) or a white-light + NIR overlay (F). Images (AD) reproduced with permission from Stummer et al. 2017. Fluorescence Imaging/Agents in tumour resection. Neurosurg Clin. N. Am. 2017, 28, 569–583. Images (E + F) reproduced with permission from Teng et al. 2021. Neurosurg Focus. 2021, 50, E4.
Figure 1. Examples of current fluorophores used in clinical practice. Representative images of fluorescence-guided resection of glioblastoma using (A,B) 5-ALA, (C,D) Fluorescein and (E,F) SWIG using white light (A,C,E), fluorescing light (B,D) or a white-light + NIR overlay (F). Images (AD) reproduced with permission from Stummer et al. 2017. Fluorescence Imaging/Agents in tumour resection. Neurosurg Clin. N. Am. 2017, 28, 569–583. Images (E + F) reproduced with permission from Teng et al. 2021. Neurosurg Focus. 2021, 50, E4.
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Figure 2. Pre-clinical assessment of novel dyes for Glioblastoma Fluorescence Guided Surgery (FGS). Representative images of novel dyes currently in pre-clinical assessment for use in Glioblastoma Fluorescence Guided Surgery (FGS). (A,B) Intra-operative detection of ovarian metastasis using a Folate-Targeted fluorescent probe. (C,D) Intra-operative detection of malignant glioma following IV injection of Hypericin. (E,F) Intra-operative fluorescence of a palpable colorectal tumour using an RGD conjugated agent. Images are shown under either white light (A,C,E), white light and fluorescence overlay (B,F), or under blue fluorescence. Images (A) + (B) reproduced with permission from Hoogstins et al. Clin Cancer Res. 2016, 22, 2929–2938. Images (C) + (D) reproduced with permission from Ritz et al. Eur. J. Surg. Oncol. (EJSO). 2012, 38, 352–360. Images (E) + (F) reproduced with permission from de Valk et al. Ann. Surg. Oncology. 2021, 28, 1832–1844.
Figure 2. Pre-clinical assessment of novel dyes for Glioblastoma Fluorescence Guided Surgery (FGS). Representative images of novel dyes currently in pre-clinical assessment for use in Glioblastoma Fluorescence Guided Surgery (FGS). (A,B) Intra-operative detection of ovarian metastasis using a Folate-Targeted fluorescent probe. (C,D) Intra-operative detection of malignant glioma following IV injection of Hypericin. (E,F) Intra-operative fluorescence of a palpable colorectal tumour using an RGD conjugated agent. Images are shown under either white light (A,C,E), white light and fluorescence overlay (B,F), or under blue fluorescence. Images (A) + (B) reproduced with permission from Hoogstins et al. Clin Cancer Res. 2016, 22, 2929–2938. Images (C) + (D) reproduced with permission from Ritz et al. Eur. J. Surg. Oncol. (EJSO). 2012, 38, 352–360. Images (E) + (F) reproduced with permission from de Valk et al. Ann. Surg. Oncology. 2021, 28, 1832–1844.
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Figure 3. Preclinical assessment of a novel NIR-AZA Fluorophore. Mice were implanted with 2 × 105 NFPp10a-GFP cells, and tumours allowed to develop for 14 days. Tumour growth was monitored by bioluminescence imaging. Subsequently mice then underwent a partial craniotomy to expose tumour and normal tissue. Fluorophore was then injected IV and mice fluorescently imaged for 90 min on IVIS Spectrum. (A) Representative image of mice showing location of implanted GBM tumour by bioluminescence. (B) Representative images of mouse post partial craniotomy illustrating exposure of normal and tumour tissue after fluorophore injection. (C) Ex-vivo imaging of whole and macro-dissected brain. As the tumour was also tagged with Green Fluorescent Protein (GFP), fluorescence imaging was also performed to confirm tumour location [Connor, Shiels et al., Unpublished data].
Figure 3. Preclinical assessment of a novel NIR-AZA Fluorophore. Mice were implanted with 2 × 105 NFPp10a-GFP cells, and tumours allowed to develop for 14 days. Tumour growth was monitored by bioluminescence imaging. Subsequently mice then underwent a partial craniotomy to expose tumour and normal tissue. Fluorophore was then injected IV and mice fluorescently imaged for 90 min on IVIS Spectrum. (A) Representative image of mice showing location of implanted GBM tumour by bioluminescence. (B) Representative images of mouse post partial craniotomy illustrating exposure of normal and tumour tissue after fluorophore injection. (C) Ex-vivo imaging of whole and macro-dissected brain. As the tumour was also tagged with Green Fluorescent Protein (GFP), fluorescence imaging was also performed to confirm tumour location [Connor, Shiels et al., Unpublished data].
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Table 1. Status of Fluorophores in clinical trials.
Table 1. Status of Fluorophores in clinical trials.
FluorophoreChemical FamilyExcitation Wavelength (nm)Emission Peak (nm)Mode of ActionTrial NumberTumourAim/ResultReference
FluoresceinFluorescein460–500510–525PassiveNCT03752203Paediatric Neurosurgical TumoursDetermine EOR of Intracranial and spinal lesions using Fluorescein Sodiumhttps://clinicaltrials.gov/ct2/show/NCT03752203 (accessed on 16 February 2022)
NCT02691923 Phase 2High grade gliomaDetermine the diagnostic potential of Fluorescein through an operating microscope relate to (1) contrast enhancement on co-registered preoperative MR scans, (2) intra-operative ALA-induced PpIX fluorescence and (3) gold-standard histology obtained from biopsy sampling during the procedure.https://clinicaltrials.gov/ct2/show/NCT02691923 (accessed on 16 February 2022)
5-ALAEndogenous non-proteinogenic amino acid400–410635–710MetabolicNCT00241670 Phase 3Malignant Glioma29% more Complete Resections
6-month higher PFS
[6]
NCT02755142 Phase 1/2Malignant Glioma100% Positive Predictive Value
10-fold increase in dose led to 4-fold increase in contrast between tumour and brain
20 mg/kg gave the strongest fluorescence
[23]
NCT00752323 Phase 2Malignant AstrocytomaDetermine the optimum dose and administration time of 5-ALAhttps://clinicaltrials.gov/ct2/show/NCT00752323 (accessed on 16 February 2022)
NCT02379572GlioblastomaComparison of iMRI and 5-ALA on number of complete resections
NCT01128218 Phase 1,2Malignant GliomaDetermine specificity and sensitivity of 5-ALA fluorescencehttps://clinicaltrials.gov/ct2/show/NCT01128218 (accessed on 16 February 2022)
NCT02191488 Phase 1Low, and high grade gliomas, Menihgiomas, or metastasesRed-light excitation of PpIX revealed tumour up to 5mm below resection bed in 22 of 24 tumours already visualised with blue-light.[24]
NCT00870779 Phase 1Low, and high grade gliomas, Menihgiomas, or metastases pituitary adenoma or metastasisDetermine degree of spatial correlation between local fluorescence recorded intra-operatively and co-registered conventional imaging obtained preoperatively via MRI and intra-operatively via ultrasound and operating microscope stereovisionhttps://clinicaltrials.gov/ct2/show/NCT00870779 (accessed on 16 February 2022)
NCT01502280 Phase 3Low-grade GliomasIntra-operative confocal microscopy identified 5-ALA tumour fluorescence at a cellular level in 10 consecutive patients.[25]
NCT01116661 Phase 2GliomaMean CPpIX was higher in fluorescing samples than nonfluorescing samples. Visible fluorescence can be used in line with Quantitative PpIX analysis[26]
NCT02155452Malignant GliomaStudy the heterogeneity of fluorescence within malignant gliomas by sampling tissues from variable areas within the same tumourhttps://clinicaltrials.gov/ct2/show/NCT02155452 (accessed on 16 February 2022)
NCT02119338Recurrent glioma Correlation of 5-ALA fluorescence in tumour tissue with pathological findingshttps://clinicaltrials.gov/ct2/show/NCT02119338 (accessed on 16 February 2022)
NCT02050243 Phase 1/2CNS Tumour, PaediatricDetermine sensitivity of CNS in identifying paediatric CNS tumours and number of patients with associated side effectshttps://clinicaltrials.gov/ct2/show/NCT02050243 (accessed on 16 February 2022)
ICGCyanine780800–830PassiveNCT03262636 Phase 1Primary and Recurrent Brain TumourDetermine the sensitivity of ICG uptake and expression in identifying autonomic nervous system tumours[27]
BLZ-100Chlorotoxin peptide + ICG730–785760–841TargetedNCT02234297 Phase 1GliomaDetermine safety of BLZ-100 in adult patients with glioma undergoing surgery.[28]
NCT02462629 Phase 1Central Nervous System (CNS) TumoursDetermine safety of BLZ-100 in paediatric patients with CNS Tumourshttps://clinicaltrials.gov/ct2/show/NCT02462629 (accessed on 16 February 2022)
Panitumumab-IRDye 800 CWIRDye 800 CW775789–795TargetedNCT04085887 Phase 1/2Paediatric brain neoplasmsDetermine the safety and efficacy of Panitumumab-IRDye 800 CW in removing suspected tumours in paediatric patientshttps://clinicaltrials.gov/ct2/show/NCT04085887 (accessed on 16 February 2022)
ABY-029IRDye 800 CW775789–795Targeted
NCT02901925 Phase 1Recurrent GliomaDetermine if microdoses of ABY-029 lead to detectable signals in sampled tissues with an EGFR pathology score ≥ 1 based on histological staining.https://clinicaltrials.gov/ct2/show/NCT02901925 (accessed on 16 February 2022)
LUM015Cy5633–647675MetabolicNCT03717142Low grade glioma, GlioblastomaDetermine the safety and efficacy of LUM015 for imaging low grade gliomas, GBM and tumour metastasis to the brainhttps://clinicaltrials.gov/ct2/show/NCT03717142 (accessed on 16 February 2022)
DemeclocyclineDemeclocycline402535passiveNCT02740933Brain TumourDetermine if fluorescence is observable via confocal microscopy.https://clinicaltrials.gov/ct2/show/NCT02740933 (accessed on 16 February 2022)
BBN-IRDye 800 CWIRDye 800 CW775789TargetedNCT02910804GlioblastomaDetermine the efficacy of BBN-IRDye800 CW in GBM patientshttps://clinicaltrials.gov/ct2/show/NCT02910804 (accessed on 16 February 2022)
NCT03407781Lower grade GliomaDetermine the efficacy of BBN-IRDye800 CW in lower grade glioma patientshttps://clinicaltrials.gov/ct2/show/NCT03407781 (accessed on 16 February 2022)
Each fluorophore was categorised into passive (non-selective accumulation in tissue), targeted (selective binding to a specific molecule in the tissue) and metabolic (requires metabolic process for activation) n/a: not applicable, results not published.
Table 2. Fluorophores undergoing preclinical evaluation.
Table 2. Fluorophores undergoing preclinical evaluation.
FluorophoreChemical FamilyExcitation Wavelength (nm)Emission Peak (nm)Mode of ActionTissue TypeResultReference
CF8 − DiRCSP + F8 + DiR 750782TargetedGlioma in miceFolate-targeted CF8-DiR showed a significantly higher accumulation than CSP-DiR. Free DiR dye remained localised in injection point showing accumulation was due to conjugation with CF8.[56]
Hypericin 510–550590–650PassiveGlioma in ratsTumour Background Ratio (TBR)s of 6 and 1.4[18,57]
Cetuximab-IRDye 800 CWIRDye 800 CW775789–795TargetedOrthotopic mice GBM87% luciferase signal reduction compared to 41% with white light.[58]
Panitumumab-IRDye 800 CWIRDye 800 CW775789–795TargetedGBM in mice30% higher TBR when using Panitumumab-IRDye 800 CW than 5-ALA[59]
IRDye 800 CW-RGDRGD Conjugate + IRDye 800 CW775789–795TargetedMice Glioblastoma (GBM)Renal clearance of IRDye 800 CW-RGD. The dye selectively binds to Integrin receptors on GBM tissue. TBR of 79.7 ± 6.9 in GBM[60]
Cyclic-RGD-PLGC (Me)AG-ACPPRGD Conjugate + Matrix Metalloproteinase (MMP-2)620670TargetedGBM CellsDual targeting improved uptake compared to either cRGD or MMP-2 alone. TBR of 7.8 ± 1.6 in GBM[61]
cRGD-ZW800-1RGD Conjugate750–785800TargetedGBM cell lines36% more fluorescence signal recorded in comparison to unlabelled cRGD[21]
CLR1502Alkylphosphocholine (APCs) Analogues760778MetabolicGlioma in miceTBR of 9.28 ± 1.08)[62]
CLR1501Alkylphosphocholine (APCs) Analogues500517MetabolicGlioma in miceTBR of 3.51 ± 0.44 on confocal imaging; 7.23 ± 1.63 on IVIS imaging[62]
Chlorotoxin:Cy5.5Cyanine5.5633694TargetedGlioma-bearing miceMice injected with Chlorotoxin: Cy5.5 a 15-fold higher TBR at day 1 in comparison to mice with Cy5.5 alone[63]
Angiopep-2-Cy5.5Cyanine5.5660–680694TargetedGBM in miceTumour to normal fluorescence ratio (TNR) of 1.6 and 63% higher intracerebral uptake than PEG-Cy5.5, tumour margin was delineated non-invasively in vivo[64]
PEG-Cy5.5Cyanine5.5650665PassiveGBM in miceTNR of 1.1[64]
DA364RGD Conjugate675694–720TargetedGBM in miceTBR of 5.14[65]
Methylene Blue 642688–700Passive/MetabolicPatient samples of GliomasSensitivity and specificity of 95% and 100% respectively. Dye-enhanced multimodal confocal microscopy shows architectural and morphological features with similar quality to haematoxylin and eosin (H & E)[66]
PARPi-FLInhibitor of the DNA repair enzyme PARP1503525TargetedGBM in micePARPi-FL showed low toxicity, high stability in vivo, and accumulates selectively in glioblastomas due to high PARP1 expression[67]
CH1055NIR-II7501055PassiveBrain tumours in miceTumour was detected at depths of 4 mm. [68]
Anti-EGFR Affibody-IRDye-800 CWIRDye 800 CW720730–900TargetedGBM cell in miceThe small (6.7 kDa) protein Anti-EGFR Affibody was observed at high levels in outer edges of the tumour[69]
SDF-1-IRDye-800 CWIRDye 800 CW685 and 785702 or 789TargetedGBM cellsFluorescence persisted for up to 4 days in-vivo[70]
IRDye800 CW-AE344 (uPAR)IRDye 800 CW740 nm850 nmTargetedOrthotopic GBM in miceTBR above 4.5 between 1 to 12 h post injection[71]
VEGF labelled IRDye-800 CWIRDye 800 CW675 and 745 nm800 nmTargetedMouse models of ovarian, breast and gastric cancersTBR of 1.93 ± 0.40 on day 6 post administration [72]
EGFR2 labelled IRDye-800 CWIRDye 800 CW675 and 745 nm800 nmTargetedMouse models of ovarian, breast and gastric cancersTBR of 2.92 ± 0.29 on day 6 post administration[72]
Each fluorophore was categorised into passive (non-selective accumulation in tissue), targeted (selective binding to a specific molecule in the tissue) and metabolic (requires metabolic process for activation).
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Netufo, O.; Connor, K.; Shiels, L.P.; Sweeney, K.J.; Wu, D.; O’Shea, D.F.; Byrne, A.T.; Miller, I.S. Refining Glioblastoma Surgery through the Use of Intra-Operative Fluorescence Imaging Agents. Pharmaceuticals 2022, 15, 550. https://doi.org/10.3390/ph15050550

AMA Style

Netufo O, Connor K, Shiels LP, Sweeney KJ, Wu D, O’Shea DF, Byrne AT, Miller IS. Refining Glioblastoma Surgery through the Use of Intra-Operative Fluorescence Imaging Agents. Pharmaceuticals. 2022; 15(5):550. https://doi.org/10.3390/ph15050550

Chicago/Turabian Style

Netufo, Oluwakanyinsolami, Kate Connor, Liam P. Shiels, Kieron J. Sweeney, Dan Wu, Donal F. O’Shea, Annette T. Byrne, and Ian S. Miller. 2022. "Refining Glioblastoma Surgery through the Use of Intra-Operative Fluorescence Imaging Agents" Pharmaceuticals 15, no. 5: 550. https://doi.org/10.3390/ph15050550

APA Style

Netufo, O., Connor, K., Shiels, L. P., Sweeney, K. J., Wu, D., O’Shea, D. F., Byrne, A. T., & Miller, I. S. (2022). Refining Glioblastoma Surgery through the Use of Intra-Operative Fluorescence Imaging Agents. Pharmaceuticals, 15(5), 550. https://doi.org/10.3390/ph15050550

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